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Grokking Machine Learning (Paperback)
Loot Price: R1,346
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Grokking Machine Learning (Paperback)
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It's time to dispel the myth that machine learning is difficult.
Grokking Machine Learning teaches you how to apply ML to your
projects using only standard Python code and high school-level
math. No specialist knowledge is required to tackle the hands-on
exercises using readily available machine learning tools! In
Grokking Machine Learning, expert machine learning engineer Luis
Serrano introduces the most valuable ML techniques and teaches you
how to make them work for you. Practical examples illustrate each
new concept to ensure you're grokking as you go. You'll build
models for spam detection, language analysis, and image recognition
as you lock in each carefully-selected skill. Packed with
easy-to-follow Python-based exercises and mini-projects, this book
sets you on the path to becoming a machine learning expert. Key
Features * Different types of machine learning, including
supervised and unsupervised learning * Algorithms for simplifying,
classifying, and splitting data * Machine learning packages and
tools * Hands-on exercises with fully-explained Python code samples
For readers with intermediate programming knowledge in Python or a
similar language. About the technology Machine learning is a
collection of mathematically-based techniques and algorithms that
enable computers to identify patterns and generate predictions from
data. This revolutionary data analysis approach is behind
everything from recommendation systems to self-driving cars, and is
transforming industries from finance to art. Luis G. Serrano has
worked as the Head of Content for Artificial Intelligence at
Udacity and as a Machine Learning Engineer at Google, where he
worked on the YouTube recommendations system. He holds a PhD in
mathematics from the University of Michigan, a Bachelor and Masters
from the University of Waterloo, and worked as a postdoctoral
researcher at the University of Quebec at Montreal. He shares his
machine learning expertise on a YouTube channel with over 2 million
views and 35 thousand subscribers, and is a frequent speaker at
artificial intelligence and data science conferences.
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